productivity▌

Spring Boot patterns for REST APIs, layered services, data access, caching, and async processing. \n \n Covers controller, service, and repository layers with Spring MVC/WebFlux, Spring Data JPA queries, and transactional boundaries \n Includes DTOs with validation, centralized exception handling via @ControllerAdvice , and RFC 7807 error responses \n Provides caching strategies with @Cacheable and @CacheEvict , async processing with @Async , and structured logging via SLF4J \n Demonstrates requ

Automated Windows environment setup for Flutter development with SDK, tooling, and platform configuration. \n \n Guides SDK installation, PATH configuration, and dependency validation via flutter doctor \n Covers Visual Studio C++ workload setup for Windows desktop compilation and Android emulator/device configuration \n Includes workflows for building release binaries, packaging distributable archives with required DLLs, and generating self-signed certificates for MSIX deployment \n Provides st

CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md，其中包含认证、权限处理

Comprehensive performance optimization guide for Postgres, maintained by Supabase. Contains rules across 8 categories, prioritized by impact to guide automated query optimization and schema design.

Implement PCI DSS compliance requirements for secure payment card handling. \n \n Covers all 12 core PCI DSS requirements across network security, data protection, access control, monitoring, and policy \n Provides practical code examples for tokenization (both processor-based and custom), encryption at rest and in transit, and audit logging \n Includes data minimization rules specifying what card data can and cannot be stored, plus Luhn validation for card numbers \n Outlines compliance levels

Codebase auditor identifying Apple App Store rejection risks and compliance gaps. \n \n Systematically reviews Info.plist, entitlements, privacy manifests, permissions, IAP flows, account handling, and content moderation against App Store Review Guidelines \n Produces prioritized risk register with severity levels, evidence citations, and concrete remediation steps \n Includes reviewer experience checklist and draft App Review Notes to streamline submission and reduce re-review cycles \n Focuses

All reference files are relative to the location of this SKILL.md file.

Monitor the knowledge flywheel health.

Create specialized AI agents with isolated contexts for specific tasks.

When implementing SDK features or debugging provider-specific issues, check reference implementations.